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Prediction of attitude and behavioural intentions in retail banking

Chris Baumann (Graduate Accounting and Commerce Centre, Macquarie University, North Ryde, Australia)
Suzan Burton (Macquarie Graduate School of Management, Macquarie University, North Ryde, Australia)
Gregory Elliott (Business Department, Macquarie University, North Ryde, Australia)
Hugo M. Kehr (TUM Business School, Technical University Munich, Munich, Germany)

International Journal of Bank Marketing

ISSN: 0265-2323

Article publication date: 6 March 2007

9084

Abstract

Purpose

This research seeks to explore the factors predicting customer loyalty in retail banking. Loyalty was measured in terms of a customer's willingness to recommend a bank and their intention to remain with their main bank short‐term (in the next six months) and long‐term (from six months to five years).

Design/methodology/approach

The study was based on a mail survey of 1,951 individuals. Potential predictors were drawn from the literature and included in three separate regression models to model different types of loyalty.

Findings

The results indicate that willingness to recommend is best predicted by affective attitude, overall satisfaction and empathy. Short‐term behavioural intentions, however, were best predicted by overall satisfaction and responsiveness, while long‐term intentions were predicted by overall satisfaction, affective attitude and empathy. The three models explained a substantial amount of the variation in the dependent variables: 71 per cent for willingness to recommend, 43 per cent for short‐term intentions and 46 per cent for long‐term intentions.

Research limitations/implications

The study adds to the discussion of the relationship between perceived satisfaction, service quality and a customer's intentions to recommend a bank and/or remain a customer. The results also contribute to the development of more parsimonious models, suggesting that affective attitude, overall satisfaction, empathy and responsiveness together explain a large percentage of the variation in customers' intentions.

Practical implications

Based on this study's findings, banks can profile customers with potential for defection based on only four variables.

Originality/value

The results demonstrate the importance of satisfaction measures and some SERVQUAL dimensions in predicting loyalty in retail banking. It also found evidence that not all five SERVQUAL measures are needed to profile customers and predict loyalty.

Keywords

Citation

Baumann, C., Burton, S., Elliott, G. and Kehr, H.M. (2007), "Prediction of attitude and behavioural intentions in retail banking", International Journal of Bank Marketing, Vol. 25 No. 2, pp. 102-116. https://doi.org/10.1108/02652320710728438

Publisher

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Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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